Two classification datasets are used in this set of experiments: a modified version of MNIST handwritten digits dataset [1]} (hereby called MNISTX) composed of 70,000 labelled samples (10 classes); and a grayscale version of the STL-10 image classification dataset [2]} containing 100,000 unlabelled and 500 labelled images (10 classes).
Examples from both datasets are shown in Figure REF .
The MNIST dataset has been modified by padding the original image such that its size is tripled (84\(\times \) 84 pixels) and adding salt-and-pepper noise to the image.
The STL-10 dataset images are 96\(\times \) 96 pixels and converted to grayscale.
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